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[Other resource] gaussianSrc DL : 0: The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussians. The numbers next to the Gaussians give the relative importance (amplitude) of each component.-The EM algorithm is short for Expectation - Maximization algorithm. It is based on an ITERA tive optimization of the centers and widths of t he kernels. The aim is to optimize the likelihoo d that the given data points are generated by a mi xture of Gaussians. The numbers next to the Gaus sians give the relative importance (amplitude ) of each component.
Update : 2008-10-13 Size : 15.25kb Publisher : 陈伟
[Other resource] gaosifangfajisuanduochongjifen DL : 0: 1.功能用高斯方法计算n重积分(C语言) 2.参数说明 int n : 积分重数 int js[n] : js[k]表示第k层积分区间所划分的子区间 void (*ss)() : 指向计算各层积分上、下限的函数名(用户自编) double (*f)() : 指向计算被积函数值的函数名(用户自编) double gaus() : 函数返回积分值 3.文件说明 gaus.c为函数程序 gaus0.c为主函数程序-1. Gaussian function method using n-integration (C) 2. Note int n parameters : Integral focus on the following int js [n] : js [k] said k-interval division of subinterval void (* ss) () : at all levels of integral calculation of the maximum and minimum levels of function (user wrote) double (* f) () : plot at the function were calculated value of the function (user wrote) double gaus () : function returns three integral values. This document explains procedures gaus.c to function mainly function procedures gaus0.c
Update : 2008-10-13 Size : 1.87kb Publisher : 罗坤
[Mathimatics-Numerical algorithms] Gaus－Seide迭代法 DL : 0: 很有用的算法哦。这是我好不容易-useful algorithm oh. This is not easy, I
Update : 2008-10-13 Size : 8.74kb Publisher : 王丹
[Mathimatics-Numerical algorithms] Gaus－Seide迭代法 DL : 0: 很有用的算法哦。这是我好不容易-useful algorithm oh. This is not easy, I
Update : 2025-02-19 Size : 58kb Publisher : 王丹
[AI-NN-PR] gaussianSrc DL : 0: The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussians. The numbers next to the Gaussians give the relative importance (amplitude) of each component.-The EM algorithm is short for Expectation- Maximization algorithm. It is based on an ITERA tive optimization of the centers and widths of t he kernels. The aim is to optimize the likelihoo d that the given data points are generated by a mi xture of Gaussians. The numbers next to the Gaus sians give the relative importance (amplitude ) of each component.
Update : 2025-02-19 Size : 15kb Publisher : 陈伟
[Algorithm] gaosifangfajisuanduochongjifen DL : 0: 1.功能用高斯方法计算n重积分(C语言) 2.参数说明 int n : 积分重数 int js[n] : js[k]表示第k层积分区间所划分的子区间 void (*ss)() : 指向计算各层积分上、下限的函数名(用户自编) double (*f)() : 指向计算被积函数值的函数名(用户自编) double gaus() : 函数返回积分值 3.文件说明 gaus.c为函数程序 gaus0.c为主函数程序-1. Gaussian function method using n-integration (C) 2. Note int n parameters : Integral focus on the following int js [n] : js [k] said k-interval division of subinterval void (* ss) () : at all levels of integral calculation of the maximum and minimum levels of function (user wrote) double (* f) () : plot at the function were calculated value of the function (user wrote) double gaus () : function returns three integral values. This document explains procedures gaus.c to function mainly function procedures gaus0.c
Update : 2025-02-19 Size : 2kb Publisher : 罗坤
[Algorithm] gauss-seidel DL : 0: gauss-seidel算法实现对方程组的求解-gauss-seidel algorithm for the equations
Update : 2025-02-19 Size : 1kb Publisher :
[Windows Develop] GAUSSJ DL : 0: 用高斯－约当消去法求解A[XY]=[BI].由于消去过程是在全矩阵中选主元来进行的，故可使舍入误差对结果的影响减到最小-Using Gauss- Jordan elimination method to solve A [XY] = [BI]. Since the elimination process is selected in the whole matrix of the PCA to carry out, it will enable the rounding error on the results to minimize the impact of
Update : 2025-02-19 Size : 1kb Publisher : 俞培春
[Delphi VCL] gaus_blur_dph_ver DL : 0: Easy example for Gaus blur algorthm
Update : 2025-02-19 Size : 454kb Publisher : DmT
[Mathimatics-Numerical algorithms] metodos DL : 0: metodo de nevillemetodo Gaus seidel jacobi y mas
Update : 2025-02-19 Size : 1kb Publisher : kakarotho
[matlab] SupportVectorClassificationandGaussianKernelwithMu DL : 0: Support Vector Cla s sification and Gaus sian Kernel with Multiple Widths
Update : 2025-02-19 Size : 291kb Publisher : 田燕红
[Mathimatics-Numerical algorithms] gaussfiltcoef DL : 0: gaussian lower filter goruntu isleme filtresi gaus noise gurultu olusturma
Update : 2025-02-19 Size : 1kb Publisher : qozmo
[Algorithm] Different_Methods DL : 0: Gaus Method and Method of Ribbon Racing
Update : 2025-02-19 Size : 78kb Publisher : Tanya
[matlab] metodo_de_gauss_jordan.2977 DL : 0: Reduccion por metodo de gaus jordan
Update : 2025-02-19 Size : 2kb Publisher : mauricio198827
[matlab] ECEFilterCheck DL : 0: 这段代码是最近调试的一段ECG滤波检波的软件，它实现了对一段ECG数据的GAUS变换滤波，能较为准确的测定出P，Q，R，S，T等关键波的长度及特征。有兴趣的可以-This code is the latest section of ECG filtering detector debugging software, which implements the ECG data on a GAUS transform filtering, can be more accurate determination of the P, Q, R, S, T, and the length of the critical wave characteristics. Interested to see
Update : 2025-02-19 Size : 2.51mb Publisher : yofee hu
[Graph Recognize] RSC DL : 0: 强壮的人脸识别系统，发表于cvpr2011年，程序是应用matlab实现-Recently the sparse representation (or coding) based classiﬁ cation (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as a sparse linear combination of the training samples, and the representation ﬁ delity is measured by the � 2-norm or � 1-norm of coding residual. Such a sparse coding model actually assumes that the coding residual follows Gaus- sian or Laplacian distribution, which may not be accurate enough to describe the coding errors in practice. In this paper, we propose a new scheme, namely the robust sparse coding (RSC), by modeling the sparse coding as a sparsity- constrained robust regression problem. The RSC seeks for the MLE (maximum likelihood estimation) solution of the sparse coding problem, and it is much more robust to out- liers (e.g., occlusions, corruptions, etc.) than SRC. An efﬁ cient iteratively reweighted sparse coding algorithm is proposed to solve the RSC model. Extensive
Update : 2025-02-19 Size : 1.16mb Publisher : 刘大明
[Special Effects] gaus DL : 0: gaus code to find the eadge of the coloe in HSI color segmentation
Update : 2025-02-19 Size : 1kb Publisher : mohammad
[Algorithm] GAUS DL : 0: 全选主元高斯消去法求解线性代数方程组AX=B的全部解-QuanXuan primary gaussian elimination method is used to solve the linear algebra equations AX = B of all solutions
Update : 2025-02-19 Size : 1kb Publisher : 戴敏
[matlab] 1d_fdtd-gaus-with-pec DL : 0: 一维线性高斯电流源时域有限差分算法，pec边界-One-dimensional linear Gaussian current source FDTD algorithm, pec boundary
Update : 2025-02-19 Size : 1kb Publisher : 孙经纬
[LabView] Gaus DL : 0: Gaus Algoritm Gaus Algoritm Gaus Algoritm-Gaus Algoritm Gaus Algoritm Gaus Algoritm Gaus Algoritm
Update : 2025-02-19 Size : 7kb Publisher : crysis

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